6 Literature Review 7 Introduction of Linear Modeling, GAM, and GLMMs 8 Effective Degrees of Freedom and Nonlinearity 13 Alternative Method to Modeling Nonlinearity 15 Model Selection, KL Distance, and Information Criteria 17 Review of Smoking Modeling 23 Review of Critical Velocity Modeling 24 Objectives 27 Linking Statement 27 Manuscript 1: Optimal Assessment of Non-Linearity 28 Abstract 29 29 Background 30 Objective 31 Methods 31 Cold Data Analysis 33 Discussion 35 Conclusion 37 Results (Simulation) 39 Results (COPD data) 46 Linking Statement 54 Manuscript 2: Modeling nonlinear trends on critical velocity 55 Abstract 56 56 Background 56 Objectives 59 Methods 59 Results 61 Discussion 67

Rao, C. R., Linear statistical inference and its applications, second Edition, New York. John Wiley & Sons. 1973. XX, 625 S., £ 12.85 .

Flexible Modeling with Generalized Additive Models and Generalized Linear Mixed Models: Comprehensive Simulation and Case Studies.

Soybean seed protein content (SPC) has been decreasing throughout last decades and DNA marker association has shown its usefulness to improve this trait even in soybean breeding programs that focus primarily on soybean yield and seed oil content (SOC). Aiming to elucidate the association of two SNP markers (ss715630650 and ss715636852) to the SPC, a soybean population of 264 F5-derived recombinant inbred lines (RILs) from a bi-parental cross was tested in four environments. Through the single-marker analysis, the additive effect () and the portion of SPC variation due to the SNPs () for single and multi-environment data were assessed, and transgressive RILs for SPC were observed. The estimates revealed the association of both markers to SPC in most of environments. The marker ss715636852 was more frequently associated to SPC, including multi-environment data, and contributed up to  = 1.30% for overall SPC, whereas ss715630650 had significant association just in two locations, with contributions of  = 0.76% and  = 0.74% to overall SPC in Vic1 and Cap1, respectively. The RIL 84-13 was classified as an elite genotype due to its favorable alleles and high SPC means, which reached 53.78% in Cap1, and 46.33% in MET analysis. Thus, these results confirm the usefulness of the SNP marker ss715636852 in a soybean breeding program for SPC.

https://www.mecenaspublishing.com/journals/index.php/asbjournal/article/download/107/263

SNP marker association for incrementing soybean seed protein content

Canine ehrlichiosis is an important tick-borne disease of dogs worldwide. In the present study, we aimed to determine the serum total antioxidant capacity (TAC), malondialdehyde (MDA), nitric oxide (NO), superoxide dismutase, (SOD), glutathione peroxidase (GSH-Px), adenosine deaminase (ADA) activity and serum protein profiles in dogs affected with naturally acquired ehrlichiosis. The animal materials had been consisted of ten dogs naturally infected with Ehrlichia canis, and ten controls negative for Ehrlichia canis. TAC, MDA, NO, SOD, GSH-Px, ADA activity and TP, ALB, GLOB levels were measured in sera of the animals. The serum protein concentrations were measured by autoanalyzer. The electrophoretic profiles of serum total protein were determined by native polyacrylamide gel electrophoresis (Native-PAGE). In dogs with ehrlichiosis, decreased TAC (P   0.05) levels were determined. However, NO (P > 0.05), SOD (P   0.05), MDA (P > 0.05), TP (P   0.05). ALB, α1 and β2 globulin strip densities were found as decreased in native-PAGE, while β1 and γ globulin strip densities were significantly increased in the E. canis positive group when compared to the control. It was determined that the oxidative stress decreased high antioxidant activity in dogs naturally infected with E. canis, and consequently, pro-oxidant and antioxidant defense and serum protein profiles were affected. It was thought that antioxidant supplementation could be beneficial to the treatment of the disease.

Rao, C. R., Linear statistical inference and its applications, second Edition, New York. John Wiley & Sons. 1973. XX, 625 S., £ 12.85 .

Citations

Flexible Modeling with Generalized Additive Models and Generalized Linear Mixed Models: Comprehensive Simulation and Case Studies.

SNP marker association for incrementing soybean seed protein content

Determination of Serum Oxidative Stress, Antioxidant Capacity and Protein Profiles in Dogs Naturally Infected with Ehrlichia canis

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